LLMs need more than a homepage
A homepage can introduce a product, but LLMs need supporting pages that answer who it is for, how it works, what it costs, and how it compares.
LLM visibility audit
Audit whether LLMs have enough evidence to recommend your product.
LLM visibility depends on public content, crawlability, entity clarity, and whether the site answers the questions buyers and models ask.
What RankFortune checks
- Entity and product positioning clarity
- Crawlable public pages and internal links
- FAQ, alternatives, use-case, and pricing signals
- Structured data and copy-ready recommendation gaps
What you get back
- LLM readiness score
- Content gaps that weaken recommendation prompts
- Next-page recommendations for better model understanding
Your public web footprint is the input
RankFortune audits the public signals available to crawlers and answer engines, then points out what is missing or hard to interpret.
The audit helps you prioritize
Instead of trying to optimize for every model at once, start with fixes that make the site easier for any LLM-driven search or answer system to understand.
FAQ
Questions this audit answers
What does LLM visibility mean?
It means a large language model can recognize your brand, understand what it does, and use public evidence to recommend or cite it.
Can I improve LLM visibility with website changes?
Yes. Clearer metadata, schema, FAQ, comparison pages, use cases, and proof content can all improve the signals available to LLM-driven systems.
Does this replace SEO?
No. It builds on SEO foundations while adding answer-readiness and entity clarity for generative systems.